Use of Normal Tissue Complication Probability Models in the Clinic

Tolerance of normal tissue to therapeutic irradiation

Emami, B., Lyman, J., Brown, A., Cola, L., Goitein, M., Munzenrider, J. E., Shank, B., Solin, L. J., & Wesson, M. (1991) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(91)90171-y · Cited by 4,488 · see citing works

CTCAE v3.0: development of a comprehensive grading system for the adverse effects of cancer treatment

Trotti, A., Colevas, A. D., Setser, A., Rusch, V. W., Jaques, D. P., Budach, V., Langer, C. J., Murphy, B. A., Cumberlin, R. L., & Coleman, C. N. (2003) · Seminars in Radiation Oncology · doi:10.1016/s1053-4296(03)00031-6 · Cited by 2,569 · see citing works

Fitting of normal tissue tolerance data to an analytic function

Burman, C. M., Kutcher, G. J., Emami, B., & Goitein, M. (1991) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(91)90172-z · Cited by 1,251 · see citing works

Reporting and analyzing dose distributions: A concept of equivalent uniform dose

Niemierko, A. (1997) · Medical Physics · doi:10.1118/1.598063 · Cited by 1,231 · see citing works

Clinical dose–volume histogram analysis for pneumonitis after 3D treatment for non-small cell lung cancer (NSCLC)

Graham, M. V., Purdy, J. A., Emami, B., Harms, W. B., Bosch, W. R., Lockett, M. A., & Perez, C. A. (1999) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/s0360-3016(99)00183-2 · Cited by 1,221 · see citing works

Complication Probability as Assessed from Dose-Volume Histograms

Lyman, J. T. (1985) · Radiation Research · doi:10.2307/3576626 · Cited by 1,160 · see citing works

Histogram reduction method for calculating complication probabilities for three-dimensional treatment planning evaluations

Kutcher, G. J., Burman, C. M., Brewster, L. J., Goitein, M., & Mohan, R. (1991) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(91)90173-2 · Cited by 560 · see citing works

Complication Probability as Assessed from Dose-Volume Histograms

Lyman, J. T. (1985) · Radiation Research Supplement · doi:10.2307/3583506 · Cited by 537 · see citing works

The Linear-Quadratic Model Is Inappropriate to Model High Dose per Fraction Effects in Radiosurgery

Kirkpatrick, J. P., Meyer, J. J., & Marks, L. B. (2008) · Seminars in Radiation Oncology · doi:10.1016/j.semradonc.2008.04.005 · Cited by 519 · see citing works

Treatment volume and tissue tolerance

Withers, H. R., Taylor, J. M. G., & Maciejewski, B. (1988) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(88)90098-3 · Cited by 446 · see citing works

Clinically relevant optimization of 3-D conformal treatments

Mohan, R., Mageras, G. S., Baldwin, B., Brewster, L. J., Kutcher, G. J., Leibel, S. A., Burman, C. M., Ling, C., & FUKS, Z. Y. (1992) · Medical Physics · doi:10.1118/1.596781 · Cited by 281 · see citing works

Analysis of clinical complication data for radiation hepatitis using a parallel architecture model

Jackson, A., Haken, R. K. T., ROBERTSON, J. M., Kessler, M. L., Kutcher, G. J., & Lawrence, T. S. (1995) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(94)00471-4 · Cited by 249 · see citing works

Calculation of normal tissue complication probability and dose-volume histogram reduction schemes for tissues with a critical element architecture

Niemierko, A., & Goitein, M. (1991) · Radiotherapy and Oncology · doi:10.1016/0167-8140(91)90093-v · Cited by 231 · see citing works

Multivariable modeling of radiotherapy outcomes, including dose–volume and clinical factors

Naqa, I. E., Bradley, J. D., Blanco, A. I., Lindsay, P. E., Vićić, M., Hope, A. J., & Deasy, J. O. (2006) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2005.11.022 · Cited by 171 · see citing works

Conformal Arc Radiotherapy for Prostate Cancer: Increased Biochemical Failure in Patients With Distended Rectum on the Planning Computed Tomogram Despite Image Guidance by Implanted Markers

Engels, B., Soete, G., Verellen, D., & Storme, G. A. (2008) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2008.08.007 · Cited by 162 · see citing works

The Modern Technology of Radiation Oncology: A Compendium for Medical Physicists and Radiation Oncologists

Dyk, J. V., & Smathers, J. B. (2000) · Medical Physics · doi:10.1118/1.598908 · Cited by 162 · see citing works

Optimization of uncomplicated control for head and neck tumors

Ågren, A., Brahme, A., & Turesson, I. (1990) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(90)90037-k · Cited by 161 · see citing works

Inter-tumor heterogeneity and radiation dose-control curves

Zagars, G. K., Schultheiss, T. E., & Peters, L. J. (1987) · Radiotherapy and Oncology · doi:10.1016/s0167-8140(87)80186-x · Cited by 92 · see citing works

Value of Whole Brain Re-irradiation for Brain Metastases — Single Centre Experience

Sadikov, E., Bezjak, A., Yi, Q.-L., Wells, W. A., Dawson, L. A., Millar, B.-A., & Laperrière, N. (2007) · Clinical Oncology · doi:10.1016/j.clon.2007.06.001 · Cited by 84 · see citing works

Results of re-irradiation for cerebral metastases

Kurup, P. D., Reddy, S., & Hendrickson, F. R. (1980) · Cancer · doi:10.1002/1097-0142(19801215)46:12 · Cited by 84 · see citing works

Orbital lymphoma: Is it necessary to treat the entire orbit?

Pfeffer, M. R., Rabin, T., Tsvang, L., Goffman, J., Rosen, N., & Symon, Z. (2004) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2004.03.039 · Cited by 78 · see citing works

Methodological issues in radiation dose–volume outcome analyses: Summary of a joint AAPM/NIH workshop

Deasy, J. O., Niemierko, A., Herbert, D. E., Yan, D., Jackson, A., Haken, R. K. T., Langer, M., & Sapareto, S. (2002) · Medical Physics · doi:10.1118/1.1501473 · Cited by 69 · see citing works

A Practical Guide to Intensity‐Modulated Radiation Therapy

Watanabe, Y. (2003) · Medical Physics · doi:10.1118/1.1600742 · Cited by 60 · see citing works

Modeling the effects of inhomogeneous dose distributions in normal tissues

Yorke, E. D. (2001) · Seminars in Radiation Oncology · doi:10.1053/srao.2001.23478 · Cited by 53 · see citing works

Late Effects of Cancer Treatment on Normal Tissues

Rubin, P. (2007) · Medical radiology · doi:10.1007/978-3-540-49070-8 · Cited by 50 · see citing works

A Test of the Claim that Plan Rankings are Determined by Relative Complication and Tumor-Control Probabilities

Langer, M., Morrill, S. M., & Lane, R. (1998) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/s0360-3016(98)00057-1 · Cited by 39 · see citing works

Clinical experience with retreatment for palliation

Morris, D. E. (2000) · Seminars in Radiation Oncology · doi:10.1053/s1053-4296(00)80039-9 · Cited by 35 · see citing works

Physician/patient-driven risk assignment in radiation oncology: Reality or fancy?

Amols, H. I., Zaider, M., Hayes, M. K., & Schiff, P. B. (1997) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/s0360-3016(97)00093-x · Cited by 19 · see citing works

Clinical, Dosimetric, and Location-Related Factors to Predict Local Control in Non-Small Cell Lung Cancer

Hope, A. J., Lindsay, P. E., Naqa, I. E., Bradley, J. D., Vivic, M., & Deasy, J. O. (2005) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2005.07.394 · Cited by 18 · see citing works

ICRP PUBLICATION 118: ICRP Statement on Tissue Reactions and Early and Late Effects of Radiation in Normal Tissues and Organs — Threshold Doses for Tissue Reactions in a Radiation Protection Context

Stewart, F. A., Akleyev, A. V., Hauer-Jensen, M., Hendry, J. H., Kleiman, N. J., MacVittie, T. J., Aleman, B. M., Edgar, A. B., Mabuchi, K., Muirhead, C. R., et al. (2012) · Annals of the ICRP · doi:10.1016/j.icrp.2012.02.001 · Cited by 1,604 · see citing works

Impact of Intensity-Modulated Radiation Therapy Technique for Locally Advanced Non–Small-Cell Lung Cancer: A Secondary Analysis of the NRG Oncology RTOG 0617 Randomized Clinical Trial

Chun, S. G., Hu, C., Choy, H., Komaki, R. U., Timmerman, R. D., Schild, S. E., Bogart, J. A., Dobelbower, M. C., Bosch, W. R., Galvin, J. M., et al. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2016.69.1378 · Cited by 747 · see citing works

Radiation-Induced Lung Injury

Hanania, A. N., Mainwaring, W., Ghebre, Y. T., Hanania, N. A., & Ludwig, M. S. (2019) · CHEST Journal · doi:10.1016/j.chest.2019.03.033 · Cited by 645 · see citing works

Pelvic Normal Tissue Contouring Guidelines for Radiation Therapy: A Radiation Therapy Oncology Group Consensus Panel Atlas

Gay, H. A., Barthold, H. J., O’Meara, E., Bosch, W. R., Naqa, I. E., Al-Lozi, R., Rosenthal, S. A., Lawton, C. A., Lee, W. R., Sandler, H. M., et al. (2012) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2012.01.023 · Cited by 547 · see citing works

Radiation therapy‐associated toxicity: Etiology, management, and prevention

Wang, K., & Tepper, J. E. (2021) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21689 · Cited by 473 · see citing works

2nd ESMO Consensus Conference in Lung Cancer: locally advanced stage III non-small-cell lung cancer

Eberhardt, W., Ruysscher, D. D., Weder, W., Pechoux, C. L., Leyn, P. D., Hoffmann, H., Westeel, V., Stahel, R. A., Felip, E., Peters, S., et al. (2015) · Annals of Oncology · doi:10.1093/annonc/mdv187 · Cited by 400 · see citing works

European Organisation for Research and Treatment of Cancer Recommendations for Planning and Delivery of High-Dose, High-Precision Radiotherapy for Lung Cancer

Ruysscher, D. D., Finn, C. F., Nestle, U., Hurkmans, C., Pechoux, C. L., Price, A., & Senan, S. (2010) · Journal of Clinical Oncology · doi:10.1200/jco.2010.30.3271 · Cited by 364 · see citing works

Uncertainties in volume delineation in radiation oncology: A systematic review and recommendations for future studies

Vinod, S. K., Jameson, M., Min, M., & Holloway, L. C. (2016) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2016.09.009 · Cited by 350 · see citing works

New Paradigms and Future Challenges in Radiation Oncology: An Update of Biological Targets and Technology

Liauw, S. L., Connell, P. P., & Weichselbaum, R. R. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3005148 · Cited by 253 · see citing works

Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective

Kang, J., Schwartz, R. S., Flíckinger, J. C., & Beriwal, S. (2015) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2015.07.2286 · Cited by 215 · see citing works

Current status and recent advances in reirradiation of glioblastoma

Minniti, G. C., Niyazi, M., Alongi, F., Navarria, P., & Belka, C. (2021) · Radiation Oncology · doi:10.1186/s13014-021-01767-9 · Cited by 216 · see citing works

Radiation Therapy for Solitary Plasmacytoma and Multiple Myeloma: Guidelines From the International Lymphoma Radiation Oncology Group

Tsang, R. W. C., Campbell, B. A., Goda, J. S., Kelsey, C. R., Kirova, Y. M., Parikh, R. R., Ng, A. K., Ricardi, U., Suh, C., Mauch, P., et al. (2018) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2018.05.009 · Cited by 213 · see citing works

Incidence and dosimetric parameters of pediatric brainstem toxicity following proton therapy

Indelicato, D. J., Flampouri, S., Rotondo, R. L., Bradley, J. A., Morris, C. G., Aldana, P. R., Sandler, E. S., & Mendenhall, N. P. (2014) · Acta Oncologica · doi:10.3109/0284186x.2014.957414 · Cited by 212 · see citing works

Non–Small Cell Lung Cancer, Version 1.2015

Ettinger, D. S., Wood, D. E., Akerley, W., Bazhenova, L. A., Borghaei, H., Camidge, D. R., Cheney, R. T., Chirieac, L. R., D’Amico, T. A., Demmy, T. L., et al. (2014) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2014.0176 · Cited by 212 · see citing works

Individualised 177Lu-DOTATATE treatment of neuroendocrine tumours based on kidney dosimetry

Sundlöv, A., Gleisner, K. S., Svensson, J. B., Ljungberg, M. H., Olsson, T. G., Bernhardt, P., & Tennvall, J. (2017) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-017-3678-4 · Cited by 210 · see citing works

Hepatocellular Carcinoma Radiation Therapy: Review of Evidence and Future Opportunities

Klein, J., & Dawson, L. A. (2012) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2012.08.043 · Cited by 208 · see citing works

Postradiation Imaging Changes in the CNS: How can we Differentiate Between Treatment Effect and Disease Progression?

Walker, A. J., Ruzevick, J., Malayeri, A. A., Rigamonti, D., Lim, M. K., Redmond, K. J., & Kleinberg, L. R. (2014) · Future Oncology · doi:10.2217/fon.13.271 · Cited by 207 · see citing works

Targeted α -Emitter Therapy with 212 Pb-DOTAMTATE for the Treatment of Metastatic SSTR-Expressing Neuroendocrine Tumors: First-in-Humans Dose-Escalation Clinical Trial

Delpassand, E. S., Tworowska, I., Esfandiari, R., Torgue, J., Hurt, J., Shafie, A., & Núñez, R. (2022) · Journal of Nuclear Medicine · doi:10.2967/jnumed.121.263230 · Cited by 199 · see citing works

Stereotactic radiosurgery for treatment of brain metastases

Köcher, M., Wittig, A., Piroth, M. D., Treuer, H., Seegenschmiedt, H. M., Ruge, M. I., Grosu, A., & Gückenberger, M. (2014) · Strahlentherapie und Onkologie · doi:10.1007/s00066-014-0648-7 · Cited by 197 · see citing works

Knowledge-based IMRT treatment planning for prostate cancer

Chanyavanich, V., Das, S. K., Lee, W. R., & Lo, J. Y.-C. (2011) · Medical Physics · doi:10.1118/1.3574874 · Cited by 190 · see citing works

Radiation dose constraints for organs at risk in neuro-oncology; the European Particle Therapy Network consensus

Lambrecht, M. L. F., Eekers, D. B. P., Alapetite, C., Burnet, N. G., Calugaru, V., Coremans, I. E. M., Fossati, P., Høyer, M., Langendijk, J. A., Romero, A. M., et al. (2018) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2018.05.001 · Cited by 183 · see citing works

Nephrotoxicity after PRRT with 177Lu-DOTA-octreotate

Bergsma, H., Konijnenberg, M., van der Zwan, W. A., Kam, B. L. R., Teunissen, J. J. M., Kooij, P. P. M., Mauff, K. A. L., Krenning, E. P., & Kwekkeboom, D. J. (2016) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-016-3382-9 · Cited by 180 · see citing works

Radiotherapy toxicities: mechanisms, management, and future directions

Verginadis, I. I., Citrin, D. E., Ky, B., Feigenberg, S. J., Georgakilas, A. G., Hill‐Kayser, C. E., Koumenis, C., Maity, A. M., Bradley, J. D., & Lin, A. (2025) · The Lancet · doi:10.1016/s0140-6736(24)02319-5 · Cited by 186 · see citing works

Radioembolization of Hepatic Lesions from a Radiobiology and Dosimetric Perspective

Cremonesi, M., Chiesa, C., Strigari, L., Ferrari, M. E., Botta, F., Guerriero, F., Cicco, C. D., Bonomo, G., Orsi, F., Bodei, L., et al. (2014) · Frontiers in Oncology · doi:10.3389/fonc.2014.00210 · Cited by 177 · see citing works

Post-radioembolization yttrium-90 PET/CT - part 2: dose-response and tumor predictive dosimetry for resin microspheres

Kao, Y.-H., Steinberg, J. D., Tay, Y. S., Lim, G. K. Y., Yan, J., Townsend, D. W., Budgeon, C. A., Bouček, J., Francis, R. J., Cheo, T., et al. (2013) · EJNMMI Research · doi:10.1186/2191-219x-3-57 · Cited by 172 · see citing works

MRI-guided Radiation Therapy: An Emerging Paradigm in Adaptive Radiation Oncology

Otazo, R., Lambin, P., Pignol, J., Ladd, M. E., Schlemmer, H., Baumann, M. A., & Hricak, H. (2020) · Radiology · doi:10.1148/radiol.2020202747 · Cited by 170 · see citing works

Radiation-induced kidney toxicity: molecular and cellular pathogenesis

Klaus, R., Niyazi, M., & Lange-Sperandio, B. (2021) · Radiation Oncology · doi:10.1186/s13014-021-01764-y · Cited by 164 · see citing works

Long-Term Endocrine and Metabolic Consequences of Cancer Treatment: A Systematic Review

Gebauer, J., Higham, C. E., Langer, T., Denzer, C., & Brabant, G. E. (2018) · Endocrine Reviews · doi:10.1210/er.2018-00092 · Cited by 166 · see citing works

Advances in radiotherapy

Ahmad, S. S., Duke, S. L., Jena, R., Williams, M. V., & Burnet, N. G. (2012) · BMJ · doi:10.1136/bmj.e7765 · Cited by 161 · see citing works

IMRT for head and neck cancer: reducing xerostomia and dysphagia

Wang, X., & Eisbruch, A. (2016) · Journal of Radiation Research · doi:10.1093/jrr/rrw047 · Cited by 154 · see citing works

High Dose per Fraction, Hypofractionated Treatment Effects in the Clinic (HyTEC): an overview

Grimm, J., Marks, L. B., Jackson, A., Kavanagh, B. D., Xue, J., & Yorke, E. (2021) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2020.10.039 · Cited by 153 · see citing works

The radiosurgery fractionation quandary: single fraction or hypofractionation?

Kirkpatrick, J. P., Soltys, S. G., Lo, S. S.-M., Beal, K. P., Shrieve, D. C., & Brown, P. D. (2017) · Neuro-Oncology · doi:10.1093/neuonc/now301 · Cited by 147 · see citing works

ScatterNet: A convolutional neural network for cone‐beam CT intensity correction

Hansen, D., Landry, G., Kamp, F., Li, M.-L., Belka, C., Parodi, K., & Kurz, C. (2018) · Medical Physics (Lancaster) · doi:10.1002/mp.13175 · Cited by 135 · see citing works

Correlation of dose with toxicity and tumour response to 90Y- and 177Lu-PRRT provides the basis for optimization through individualized treatment planning.

Cremonesi, M., Ferrari, M. E., Bodei, L., Chiesa, C., Sarnelli, A., Garibaldi, C., Pacilio, M., Strigari, L., Summers, P. E., Orecchia, R., et al. (2018) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-018-4044-x · Cited by 141 · see citing works

Radiation-induced hypothyroidism in head and neck cancer patients: A systematic review

Boomsma, M. J., Bijl, H. P., & Langendijk, J. A. (2011) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2011.03.002 · Cited by 140 · see citing works

Whole brain radiotherapy for brain metastasis

Chinnaiyan, P., McTyre, E., & Scott, J. G. (2013) · Surgical Neurology International · doi:10.4103/2152-7806.111301 · Cited by 138 · see citing works

Radiation Dosimetry in 177Lu-PSMA-617 Therapy Using a Single Posttreatment SPECT/CT Scan: A Novel Methodology to Generate Time- and Tissue-Specific Dose Factors

Jackson, P. A., Hofman, M. S., Hicks, R. J., Scalzo, M., & Violet, J. A. (2019) · Journal of Nuclear Medicine · doi:10.2967/jnumed.119.233411 · Cited by 138 · see citing works

Concurrent irradiation with the anti-programmed cell death ligand-1 immune checkpoint blocker durvalumab: Single centre subset analysis from a phase 1/2 trial

Lévy, A., Massard, C., Soria, J., & Deutsch, É. (2016) · European Journal of Cancer · doi:10.1016/j.ejca.2016.09.013 · Cited by 133 · see citing works

Absorbable Hydrogel Spacer Use in Prostate Radiotherapy: A Comprehensive Review of Phase 3 Clinical Trial Published Data

Karsh, L. I., Gross, E., Pieczonka, C. M., Aliotta, P. J., Skomra, C. J., Ponsky, L. E., Nieh, P. T., Han, M., Hamstra, D. A., & Shore, N. D. (2017) · Urology · doi:10.1016/j.urology.2017.11.016 · Cited by 132 · see citing works

The EPTN consensus-based atlas for CT- and MR-based contouring in neuro-oncology

Eekers, D. B. P., Ven, L. I. ’., Roelofs, E., Postma, A. A., Alapetite, C., Burnet, N. G., Calugaru, V., Compter, I., Coremans, I. E. M., Høyer, M., et al. (2018) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2017.12.013 · Cited by 132 · see citing works

Swallowing dysfunction in head and neck cancer patients treated by radiotherapy: Review and recommendations of the supportive task group of the Italian Association of Radiation Oncology

Russi, E. G., Corvò, R., Merlotti, A. M., Alterio, D., Franco, P., Pergolizzi, S., Sanctis, V. D., Redda, M. G. R., Ricardi, U., Paiar, F., et al. (2012) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2012.04.002 · Cited by 130 · see citing works

Intensity‐modulated proton therapy for nasopharyngeal carcinoma: Decreased radiation dose to normal structures and encouraging clinical outcomes

Lewis, G. D., Holliday, E. B., Kocak–Uzel, E., Hernández, M., Garden, A. S., Rosenthal, D. I., & Frank, S. J. (2015) · Head & Neck · doi:10.1002/hed.24341 · Cited by 130 · see citing works

CBCT correction using a cycle-consistent generative adversarial network and unpaired training to enable photon and proton dose calculation

Kurz, C., Maspero, M., Savenije, M. H. F., Landry, G., Kamp, F., Pinto, M., Li, M., Parodi, K., Belka, C., & van den Berg, C. A. T. (2019) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ab4d8c · Cited by 128 · see citing works

Machine Learning-Based Models for Prediction of Toxicity Outcomes in Radiotherapy

Isaksson, L. J., Pepa, M., Zaffaroni, M., Marvaso, G., Alterio, D., Volpe, S., Corrao, G., Augugliaro, M., Starzyńska, A., Leonardi, M. C., et al. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.00790 · Cited by 128 · see citing works

Radiomics and Machine Learning for Radiotherapy in Head and Neck Cancers

Giraud, P., Giraud, P., Gasnier, A., Ayachy, R. E., Kreps, S., Foy, J., Durdux, C., Huguet, F., Burgun, A., & Bibault, J. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.00174 · Cited by 125 · see citing works

Proton Therapy for Breast Cancer: A Consensus Statement From the Particle Therapy Cooperative Group Breast Cancer Subcommittee

Mutter, R. W., Choi, J. I., Jimenez, R., Kirova, Y., Fagundes, M., Haffty, B. G., Amos, R. A., Bradley, J. A., Chen, P. Y., Ding, X., et al. (2021) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2021.05.110 · Cited by 122 · see citing works

Treatment Guidelines for Preoperative Radiation Therapy for Retroperitoneal Sarcoma: Preliminary Consensus of an International Expert Panel

Baldini, E. H., Wang, D., Haas, R. L., Catton, C., Indelicato, D. J., Kirsch, D. G., Roberge, D., Salerno, K. E., Deville, C., Guadagnolo, B. A., et al. (2015) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2015.02.013 · Cited by 119 · see citing works

Surgery of the lateral skull base: a 50-year endeavour

Zanoletti, E., Mazzoni, A., Martini, A., Abbritti, R. V., Albertini, R., Alexandre, E., Baro, V., Bartolini, S., Bernardeschi, D., Bivona, R., et al. (2019) · Acta Otorhinolaryngologica Italica · doi:10.14639/0392-100x-suppl.1-39-2019 · Cited by 118 · see citing works

Normal tissue complication probability (NTCP) modelling using spatial dose metrics and machine learning methods for severe acute oral mucositis resulting from head and neck radiotherapy

Dean, J., Wong, K., Welsh, L., Jones, A.-B., Schick, U., Newbold, K., Bhide, S., Harrington, K., Nutting, C., & Gulliford, S. (2016) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2016.05.015 · Cited by 113 · see citing works

A Prospective Cohort Study on Radiation-induced Hypothyroidism: Development of an NTCP Model

Boomsma, M. J., Bijl, H. P., Christianen, M. E. M. C., Beetz, I., Chouvalova, O., Steenbakkers, R. J. H. M., van der Laan, B. F. A. M., Wolffenbuttel, B. H. R., Oosting, S. F., Schilstra, C., et al. (2012) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2012.05.020 · Cited by 113 · see citing works

The physical basis and future of radiation therapy

Bortfeld, T. R., & Jeraj, R. (2011) · British Journal of Radiology · doi:10.1259/bjr/86221320 · Cited by 112 · see citing works

Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’?

Baroudi, H., Brock, K. K., Cao, W., Chen, X., Chung, C. D., Court, L. E., Basha, M. D. E., Farhat, M., Gay, S., Gronberg, M., et al. (2023) · Diagnostics · doi:10.3390/diagnostics13040667 · Cited by 112 · see citing works

Technical guidelines for head and neck cancer IMRT on behalf of the Italian association of radiation oncology - head and neck working group

Merlotti, A. M., Alterio, D., Vigna‐Taglianti, R., Muraglia, A., Lastrucci, L., Manzo, R., Gambaro, G., Caspiani, O., Miccichè, F., Deodato, F., et al. (2014) · Radiation Oncology · doi:10.1186/s13014-014-0264-9 · Cited by 110 · see citing works

Dosimetric comparison of RapidPlan and manually optimized plans in volumetric modulated arc therapy for prostate cancer

Kubo, K., Monzen, H., Ishii, K., Tamura, M., Kawamorita, R., Sumida, I., Mizuno, H., & Nishimura, Y. (2017) · Physica Medica · doi:10.1016/j.ejmp.2017.06.026 · Cited by 108 · see citing works

Results of a Multicentric In Silico Clinical Trial (ROCOCO): Comparing Radiotherapy with Photons and Protons for Non-small Cell Lung Cancer

Roelofs, E., Engelsman, M., Rasch, C. R. N., Persoon, L. C. G. G., Qamhiyeh, S., Ruysscher, D. D., Verhaegen, F., Pijls-Johannesma, M. C. G., & Lambin, P. (2011) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e31823529fc · Cited by 107 · see citing works

A comparison of mechanism‐inspired models for particle relative biological effectiveness (RBE)

Stewart, R. D., Carlson, D. J., Butkus, M. P., Hawkins, R. B., Friedrich, T., & Scholz, M. (2018) · Medical Physics · doi:10.1002/mp.13207 · Cited by 107 · see citing works

A voxel-based investigation for MRI-only radiotherapy of the brain using ultra short echo times

Edmund, J., Kjer, H. M., Leemput, K. V., Hansen, R. H., Andersen, J. A. L., & Andreasen, D. (2014) · Physics in Medicine and Biology · doi:10.1088/0031-9155/59/23/7501 · Cited by 99 · see citing works

The REQUITE Project: Validating Predictive Models and Biomarkers of Radiotherapy Toxicity to Reduce Side-effects and Improve Quality of Life in Cancer Survivors

West, C., Azria, D., Chang-Claude, J. C., Davidson, S. E., Lambin, P., Rosenstein, B. S., Ruysscher, D. D., Talbot, C. J., Thierens, H. M., Valdagni, R., et al. (2014) · Clinical Oncology · doi:10.1016/j.clon.2014.09.008 · Cited by 99 · see citing works

MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method

Liu, Y., Lei, Y., Wang, Y., Wang, T., Ren, L., Lin, L., McDonald, M. W., Curran, W. J., Liu, T., Zhou, J., et al. (2019) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ab25bc · Cited by 99 · see citing works

Radiosurgery of multiple brain metastases with single-isocenter dynamic conformal arcs (SIDCA)

Huang, Y., Chin, K., Robbins, J. R., Kim, J., Li, H., Amro, H., Chetty, I. J., Gordon, J., & Ryu, S. (2014) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2014.05.009 · Cited by 99 · see citing works

Radiomics in radiooncology – challenging the medical physicist

Peeken, J. C., Bernhofer, M., Wiestler, B., Goldberg, T., Cremers, D., Rost, B., Wilkens, J. J., Combs, S. E., & Nüsslin, F. (2018) · Physica Medica · doi:10.1016/j.ejmp.2018.03.012 · Cited by 98 · see citing works

Normal-Tissue Tolerance to Radiopharmaceutical Therapies, the Knowns and the Unknowns

Wahl, R. L., Sgouros, G., Iravani, A., Jacene, H., Pryma, D., Saboury, B., Capala, J., & Graves, S. A. (2021) · Journal of Nuclear Medicine · doi:10.2967/jnumed.121.262751 · Cited by 95 · see citing works

An overlap‐volume‐histogram based method for rectal dose prediction and automated treatment planning in the external beam prostate radiotherapy following hydrogel injection

Yang, Y., Ford, E. C., Wu, B., Pinkawa, M., van Triest, B., Campbell, P. H., Song, D. Y., & McNutt, T. (2012) · Medical Physics · doi:10.1118/1.4769424 · Cited by 96 · see citing works

Patient‐reported outcomes after 3‐dimensional conformal, intensity‐modulated, or proton beam radiotherapy for localized prostate cancer

Gray, P. J., Paly, J. J., Yeap, B. Y., Sanda, M. G., Sandler, H. M., Michalski, J. M., Talcott, J. A., Coen, J. J., Hamstra, D. A., Shipley, W. U., et al. (2013) · Cancer · doi:10.1002/cncr.27956 · Cited by 94 · see citing works

Radiation Therapy Definitions and Reporting Guidelines for Thymic Malignancies

Gomez, D. R., Komaki, R. U., Yu, J. B., Ikushima, H., & Bezjak, A. (2011) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e31821ea60c · Cited by 93 · see citing works

Deep inspiration breath-hold technique in left-sided breast cancer radiation therapy: Evaluating cardiac contact distance as a predictor of cardiac exposure for patient selection

Rochet, N., Drake, J. I., Harrington, K., Wolfgang, J. A., Napolitano, B. N., Sadek, B. T., Shenouda, M. N., Keruakous, A. R., Niemierko, A., & Taghian, A. G. (2014) · Practical Radiation Oncology · doi:10.1016/j.prro.2014.08.003 · Cited by 92 · see citing works

Trial Watch

Vacchelli, E., Vitale, I., Tartour, É., Eggermont, A. M. M., Sautès‐Fridman, C., Galon, J., Zitvogel, L., Kroemer, G., & Galluzzi, L. (2013) · OncoImmunology · doi:10.4161/onci.25595 · Cited by 91 · see citing works

The clinical manifestations and molecular pathogenesis of radiation fibrosis

Fijardo, M., Kwan, J. Y. Y., Bissey, P.-A., Citrin, D. E., Yip, K. W., & Liu, F. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.105089 · Cited by 93 · see citing works

Implementation of deep learning-based auto-segmentation for radiotherapy planning structures: a workflow study at two cancer centers

Wong, J., Huang, V., Wells, D., Giambattista, J., Giambattista, J., Kolbeck, C., Otto, K. F., Saibishkumar, E. P., & Alexander, A. (2021) · Radiation Oncology · doi:10.1186/s13014-021-01831-4 · Cited by 89 · see citing works

Machine learning applications in radiation oncology

Field, M., Hardcastle, N., Jameson, M., Aherne, N. J., & Holloway, L. C. (2021) · Physics and Imaging in Radiation Oncology · doi:10.1016/j.phro.2021.05.007 · Cited by 89 · see citing works

Organs at risk radiation dose constraints

Noël, G., & Antoni, D. (2021) · Cancer/Radiothérapie · doi:10.1016/j.canrad.2021.11.001 · Cited by 89 · see citing works

Standardizing Naming Conventions in Radiation Oncology

Santanam, L., Hurkmans, C., Mutic, S., van Vliet-Vroegindeweij, C., Brame, S., Straube, W. L., Galvin, J. M., Tripuraneni, P., Michalski, J. M., & Bosch, W. R. (2012) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2011.09.054 · Cited by 89 · see citing works

Diagnostic and therapeutic management of hepatocellular carcinoma

Bellissimo, F. (2015) · World Journal of Gastroenterology · doi:10.3748/wjg.v21.i42.12003 · Cited by 87 · see citing works

Adaptations to a Generalized Radiation Dose Reconstruction Methodology for Use in Epidemiologic Studies: An Update from the MD Anderson Late Effect Group

Howell, R. M., Smith, S. A., Weathers, R. E., Kry, S. F., & Stovall, M. A. (2019) · Radiation Research · doi:10.1667/rr15201.1 · Cited by 87 · see citing works

Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose Planning

Largent, A., Barateau, A., Nunes, J., Mylona, E., Castelli, J., Lafond, C., Greer, P. B., Dowling, J., Baxter, J. S. H., Saint‐Jalmes, H., et al. (2019) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2019.08.049 · Cited by 85 · see citing works

Dose–Volume Constraints fOr oRganS At risk In Radiotherapy (CORSAIR): An “All-in-One” Multicenter–Multidisciplinary Practical Summary

Bisello, S., Cilla, S., Benini, A., Cardano, R., Nguyen, N. P., Deodato, F., Macchia, G., Buwenge, M., Cammelli, S., Wondemagegnehu, T., et al. (2022) · Current Oncology · doi:10.3390/curroncol29100552 · Cited by 87 · see citing works

Organ-sparing radiation therapy for head and neck cancer

Wang, X., Hu, C., & Eisbruch, A. (2011) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2011.106 · Cited by 86 · see citing works

Comparing Unet training with three different datasets to correct CBCT images for prostate radiotherapy dose calculations

Landry, G., Hansen, D. C., Kamp, F., Li, M., Hoyle, B., Weller, J., Parodi, K., Belka, C., & Kurz, C. (2018) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aaf496 · Cited by 85 · see citing works

Head and Neck Cancer Adaptive Radiation Therapy (ART): Conceptual Considerations for the Informed Clinician

Heukelom, J., & Fuller, C. D. (2019) · Seminars in Radiation Oncology · doi:10.1016/j.semradonc.2019.02.008 · Cited by 84 · see citing works

Minimally invasive local therapies for liver cancer.

Li, D., Kang, J., Golas, B. J., Yeung, V. W., & Madoff, D. C. (2014) · PubMed Central · doi:10.7497/j.issn.2095-3941.2014.04.001 · Cited by 81 · see citing works

COSMIC: A Regimen of Intensity Modulated Radiation Therapy Plus Dose-Escalated, Raster-Scanned Carbon Ion Boost for Malignant Salivary Gland Tumors: Results of the Prospective Phase 2 Trial

Jensen, A. D., Nikoghosyan, A. V., Lossner, K., Haberer, T., Jäkel, O., Münter, M., & Debus, J. (2015) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2015.05.013 · Cited by 81 · see citing works

Practical Considerations in the Re-Irradiation of Recurrent and Second Primary Head-and-Neck Cancer: Who, Why, How, and How Much?

Chen, A. M., Phillips, T. L., & Lee, N. Y. (2011) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2011.06.1998 · Cited by 81 · see citing works

Optimize and refine therapeutic index in radiation therapy: Overview of a century

Chargari, C., Magné, N., Guy, J., Rancoule, C., Lévy, A., Goodman, K. A., & Deutsch, É. (2016) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2016.03.001 · Cited by 81 · see citing works

New dose constraint reduces radiation-induced fatal pneumonitis in locally advanced non-small cell lung cancer patients treated with intensity-modulated radiotherapy

Khalil, A. A., Hoffmann, L., Møller, D. S., Farr, K. P., & Knap, M. M. (2015) · Acta Oncologica · doi:10.3109/0284186x.2015.1061216 · Cited by 80 · see citing works

Assessing the Role of Artificial Intelligence (AI) in Clinical Oncology: Utility of Machine Learning in Radiotherapy Target Volume Delineation

Boon, I. S., Yong, T. P. T. A., & Boon, C. S. (2018) · Medicines · doi:10.3390/medicines5040131 · Cited by 80 · see citing works

Electronic Patient-Reported Outcome Measures in Radiation Oncology: Initial Experience After Workflow Implementation

Hauth, F., Bizu, V., App, R., Lautenbacher, H., Tenev, A., Bitzer, M., Malek, N. P., Zips, D., & Gani, C. (2019) · JMIR mhealth and uhealth · doi:10.2196/12345 · Cited by 82 · see citing works

Dose–volume-related dysphagia after constrictor muscles definition in head and neck cancer intensity-modulated radiation treatment

Mazzola, R., Ricchetti, F., Fiorentino, A., Fersino, S., Giaj‐Levra, N., Naccarato, S., Sicignano, G., Albanese, S., Paola, G. D., Alterio, D., et al. (2014) · British Journal of Radiology · doi:10.1259/bjr.20140543 · Cited by 78 · see citing works

Thyroid V40 Predicts Primary Hypothyroidism After Intensity Modulated Radiation Therapy for Nasopharyngeal Carcinoma

Sommat, K., Ong, W. S., Hussain, A., Soong, Y. L., Tan, T. W. K., Wee, J. T. S., & Fong, K. W. (2017) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2017.03.007 · Cited by 78 · see citing works

Management of Patients with ≥4 Brain Metastases Using Stereotactic Radiosurgery Boost after Whole Brain Irradiation

Dinçoğlan, F., Sager, O., Gamsız, H., Uysal, B., Demiral, S., Oysul, K., Şirin, S., Çağlan, A., & Beyzadeoğlu, M. (2014) · Tumori Journal · doi:10.1177/1578.17210 · Cited by 78 · see citing works

Radiation-induced esophagitis in lung cancer

Baker, S. E., & Fairchild, A. M. (2016) · Lung Cancer Targets and Therapy · doi:10.2147/lctt.s96443 · Cited by 78 · see citing works

Revisiting the dose constraints for head and neck OARs in the current era of IMRT

Brodin, N. P., & Tomé, W. A. (2018) · Oral Oncology · doi:10.1016/j.oraloncology.2018.08.018 · Cited by 77 · see citing works

Trial Watch: Immunotherapy plus radiation therapy for oncological indications

Vacchelli, E., Bloy, N., Aranda, F., Buqué, A., Cremer, I., Demaria, S., Eggermont, A. M. M., Formenti, S. C., Fridman, W. H., Fucikova, J. P., et al. (2016) · OncoImmunology · doi:10.1080/2162402x.2016.1214790 · Cited by 76 · see citing works

Inclusion of clinical risk factors into NTCP modelling of late rectal toxicity after high dose radiotherapy for prostate cancer

Rancati, T., Fiorino, C., Fellin, G., Vavassori, V., Cagna, E., Borca, V. C., Girelli, G. F., Menegotti, L., Monti, A. F., Tortoreto, F., et al. (2011) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2011.06.032 · Cited by 76 · see citing works

Physically constrained voxel‐based penalty adaptation for ultra‐fast IMRT planning

Wahl, N., Bangert, M., Kamerling, C. P., Ziegenhein, P., Bol, G. H., Raaymakers, B. W., & Oelfke, U. (2016) · Journal of Applied Clinical Medical Physics · doi:10.1120/jacmp.v17i4.6117 · Cited by 75 · see citing works

Lymphocyte sparing normal tissue effects in the clinic (LymphoTEC): A systematic review of dose constraint considerations to mitigate radiation-related lymphopenia in the era of immunotherapy

Venkatesulu, B., Giridhar, P., Pujari, L., Chou, B., Lee, J. H., Block, A. M., Upadhyay, R., Welsh, J. S., Harkenrider, M. M., Krishnan, S., et al. (2022) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2022.10.019 · Cited by 75 · see citing works

Intensity Modulated Radiation Therapy Dose Painting for Localized Prostate Cancer Using 11C-choline Positron Emission Tomography Scans

Chang, J. H., Joon, D. L., Lee, S. T., Gong, S. J., Anderson, N., Scott, A. M., Davis, I. D., Clouston, D. R., Bolton, D. M., Hamilton, C. S., et al. (2012) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2012.01.087 · Cited by 74 · see citing works

A multidimensional nomogram combining overall stage, dose volume histogram parameters and radiomics to predict progression-free survival in patients with locoregionally advanced nasopharyngeal carcinoma

Yang, K., Tian, J., Zhang, B., Li, M., Xie, W., Zou, Y., Tan, Q., Liu, L., Zhu, J., Shou, A., et al. (2019) · Oral Oncology · doi:10.1016/j.oraloncology.2019.09.022 · Cited by 72 · see citing works

Tumor Response After Neoadjuvant Magnetic Resonance Guided Single Ablative Dose Partial Breast Irradiation

Vasmel, J. E., Charaghvandi, R. K., Houweling, A. C., Philippens, M. E. P., van Asselen, B., Vreuls, C. P. H., van Diest, P. J., van Leeuwen, A. M. G., van Gorp, J., Witkamp, A. J., et al. (2019) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2019.11.406 · Cited by 72 · see citing works

Results of a Multi-Institutional Phase 2 Clinical Trial for 4DCT-Ventilation Functional Avoidance Thoracic Radiation Therapy

Vinogradskiy, Y. Y., Castillo, R., Castillo, E. M., Schubert, L. K., Jones, B. L., Faught, A. M., Gaspar, L. E., Kwak, J., Bowles, D. W., Waxweiler, T. V., et al. (2021) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2021.10.147 · Cited by 77 · see citing works

Machine Learning and Radiogenomics: Lessons Learned and Future Directions

Kang, J., Rancati, T., Lee, S., Oh, J. H., Kerns, S. L., Scott, J. G., Schwartz, R. S., Kim, S. Y., & Rosenstein, B. S. (2018) · Frontiers in Oncology · doi:10.3389/fonc.2018.00228 · Cited by 73 · see citing works

The Use of Normal Tissue Complication Probability (NTCP) Models in the Clinic

Constine, L. S., Nam, J., Haken, R. K. T., Eisbruch, A., Yorke, E. D., Deasy, J. O., Jackson, A., Bentzen, S. M., & Marks, L. B. (2020) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/gthy-d841 · Cited by 5 · see citing works

Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC): Clinical Use

Haken, R. K. T., Marks, L. B., Bentzen, S. M., Constine, L. S., Deasy, J. O., Eisbruch, A., Yorke, E. D., & Jackson, A. (2009) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-642-03474-9_302 · Cited by 2 · see citing works

Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC): An Introduction to the Scientific Issues

Bentzen, S. M., Constine, L. S., Deasy, J. O., Eisbruch, A., Jackson, A., Marks, L. B., Haken, R. K. T., & Yorke, E. D. (2010) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2009.09.040 · Cited by 1,268 · see citing works

MO‐D‐AUD A‐01: Summarizing Our Knowledge of Normal Tissue Tolerances: The Progress and Future Directions of QUANTEC

Jackson, A. (2008) · Medical Physics · doi:10.1118/1.2962339 · Cited by 1 · see citing works

TU-A-203-01: QUANTEC and the Clinical Physicist

Jackson, A., & Marks, L. B. (2010) · Medical Physics · doi:10.1118/1.3469161